ChatGPT est mort ? Les 5 alternatives gratuites qui le remplacent en 2026

{
  "content": "# Is ChatGPT Dead? The 5 Free Alternatives Replacing It in 2026
ChatGPT, the language model that revolutionized how we work and communicate, is it on the verge of disappearing? Not quite, but powerful new free alternatives are emerging. In this article, we’ll explore the 5 free alternatives to ChatGPT that could replace it in 2026.

## Prerequisites
* Basic knowledge of language models and AI
* Experience with ChatGPT or other AI tools
* Curiosity about the latest AI innovations

## Free Alternatives to ChatGPT
### 1. Claude
Claude is a language model developed by Anthropic, a company founded by former OpenAI researchers. Claude is known for its high-quality text comprehension and generation capabilities.

```python
import anthropic

claude = anthropic.Client(api_key=\"[[api_key]]\")
response = claude.completions.create(
    model=\"claude-3-opus\",
    prompt=\"Write an article on the benefits of AI\",
    max_tokens_to_sample=1024
)
print(response.completion)

const { GoogleGenerativeAI } = require(\"@google/generative-ai\");

const genAI = new GoogleGenerativeAI(\"[[api_key]]\");
const model = genAI.getGenerativeModel({ model: \"gemini-1.5-pro\" });
const prompt = \"Write an article on the benefits of AI\";
const result = await model.generateContent(prompt);
console.log(result.response.text());

from transformers import LlamaForCausalLM, LlamaTokenizer

tokenizer = LlamaTokenizer.from_pretrained(\"meta-llama/llama-7b\")
model = LlamaForCausalLM.from_pretrained(\"meta-llama/llama-7b\")

input_ids = tokenizer.encode(\"Write an article on the benefits of AI\", return_tensors=\"pt\")
output = model.generate(input_ids, max_length=1024)
print(tokenizer.decode(output[0], skip_special_tokens=True))

from mistral import Mistral

mistral = Mistral(api_key=\"[[api_key]]\")
response = mistral.completions.create(
    model=\"mistral-small\",
    prompt=\"Write an article on the benefits of AI\",
    max_tokens=1024
)
print(response.completion)

from qwen import Qwen

qwen = Qwen(api_key=\"[[api_key]]\")
response = qwen.completions.create(
    model=\"qwen-1.5b\",
    prompt=\"Write an article on the benefits of AI\",
    max_tokens=1024
)
print(response.completion)